In a traditional mobile account, it's easy to identify a line: you just use the phone number . For smartphones, that works fine as a unique service ID in your inventory and billing systems. With IoT lines , it's not that simple. IoT services often don't behave like phones. Many don't use voice at all. Some don't even truly "use" the phone number that the carrier assigns. Yet the same account may contain multiple identifiers: ICCID MSISDN IMSI If you pick the wrong one as

For years, Bring Your Own Device (BYOD) has been sold as a simple equation: let employees use their own phones and laptops, save money on corporate devices, and everyone's happy. Fast forward to end of 2025, and the picture is a lot messier. The global BYOD market is now worth well over $100 billion and growing fast, driven by hybrid work and the expectation that "work can happen anywhere." Most organizations allow at least some form of BYOD, and many employees use personal

A Policy Checklist for Enterprises For years, international roaming has been painfully simple and painfully expensive. An employee lands in London, their phone lights up with a "Welcome abroad!" text, and suddenly you're paying $10-$15 a day for the privilege of email, maps, and Teams calls. Travel eSIMs break that model. With a few taps, a traveler can download a local or regional data plan, often at a fraction of classic roaming rates. That's great for the employee's exp

Many enterprise clients who manage IoT lines through AT&T, T-Mobile, or other mobility providers have historically operated on Pod 11 within Cisco Jasper (Control Center). Over the last year, however, carriers have been transitioning customers to Pod 17 or Pod 19 , as the legacy pod approaches deprecation. The newer pods promise better API performance, updated security and identify management, more reliable lifecycle automation, and overall improved system stability. Ideal

Two quarters ago, a leadership team I worked with thought their wireless run-rate was stable. Headcount was flat, hiring controls were in place, and no one had requested new device budgets. Yet invoices crept up month after month. A quick cross-check found what the spreadsheets hid: lines still active for people who had left, devices marked "spare" that were checking in from the field, and numbers ported to a new carrier but never disconnected at the old one. Within thirt

For carriers in the IT network reselling business, managing service addresses effectively is more than a clerical task - it's a cornerstone for robust revenue and cost management. However, ensuring the accuracy of these addresses is often more complicated than it seems. The Challenge with Service Addresses While valid service addresses are essential for provisioning circuits, the reality is that accurate information isn't always readily available for inventory management. T

Are you facing challenges in building a pristine technology asset inventory with accurate service addresses? Capturing precise service addresses in essential for managing your technology asset costs and ensuring customer satisfaction. Inaccuracies in provisioning and ordering data are common, particularly with multiple acquisitions from varied systems. While the extraction of data from invoices might seem like a direct approach, navigating through myriad Billing Account Nu

I'm sure you've had those moments where you've asked, "Where did this data come from?" or "How was this data transformed over time?" As we march on in 2023, these questions are more relevant than ever. If there's one thing I've heard from many of you, it's that there's a need for a clearer view into the lifecycle of data. That's what we're tackling today: the challenge of data visibility and how you can conquer it. The Importance of Seeing Clearly Let's take a step back an

Enabling Success in the Era of Big Data with Robust Data Governance In the contemporary age of big data, managing, maintaining, and securing information quality and consistency is no longer an option - it is a business imperative. In my previous article , I discussed the significance of data quality and accuracy for insightful analytics. In this context, a viable solution is the implementation of data governance - an essential building block of any thriving data management